47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from io import BytesIO
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import tweepy
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from automeme import TextLine, get_rdrama, strip_markdown
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import utils
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import json
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from meme_generator import get_image_file_from_url
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def load_key_from_file(filename : str) -> str:
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with open(utils.get_real_filename(filename), "r") as f:
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return f.read()
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consumer_key = load_key_from_file("twitter_api_key")
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consumer_secret = load_key_from_file("twitter_api_secret")
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access_token = load_key_from_file("twitter_access_token")
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access_token_secret = load_key_from_file("twitter_access_token_secret")
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auth = tweepy.OAuth1UserHandler(
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consumer_key,
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consumer_secret,
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access_token,
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access_token_secret
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)
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api = tweepy.API(auth)
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rdrama = get_rdrama()
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for comment in rdrama.get_comments(user = "automeme", sort = "top", t="day")['data']:
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if "Darrell Brooks" not in comment['body'] and "twitter" not in comment['body']:
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best = comment
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break
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print(json.dumps(best, indent=4))
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comment_text = best['body']
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cleaned_comment_text = strip_markdown(comment_text)
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comment_lines = cleaned_comment_text.split("\n")
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comment_lines = [comment_line for comment_line in comment_lines if comment_line != ""]
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element_lines = [TextLine(line) for line in comment_lines]
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for i in element_lines:
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print(i)
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image = element_lines[-1].images[0]
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print(image.url)
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animated_image = get_image_file_from_url(image.url)
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file = BytesIO(initial_bytes=animated_image.get_binary_gif())
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media = api.media_upload(filename = "foo.gif", file=file, chunked=True, wait_for_async_finalize = True)
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media_id = media.media_id_string
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api.update_status("#meme", media_ids=[media_id]) |